Research Progress on Acquisition and Processing of Rice Disease Images Based on Computer Vision Technology

Abstract

Abstract Rice diseases are an essential factor that affects rice yield and quality, and carrying out researches on rice disease recognition and detection methods is of great significance to the promotion of green and high yield, stable yield, and high-quality and efficient development of rice. The recognition of crop diseases with computer vision technology is characterized by non-destruction, rapidity, real-timeness, and accuracy, etc, and has far-reaching influence on accelerating agricultural modernization and improving production efficiency. Recognition and detection of crop diseases have become a focus and front of research in the field of computer vision technology. The acquisition and processing techniques of rice disease images are researched in this paper, and the basic principles, key techniques, realization methods, and application effects of some typical methods are also analyzed, in the hope of providing reference for the researches on rice disease recognition. Prospect of future development trend and research direction in this field is also predicted.